Assessing high school student's STEM career interests using a social cognitive framework
Mau, W.-C.; Chen, S.-J.; Lin, C.-C. (2019). Assessing high school student's STEM career interests using a social cognitive framework. Education Sciences, 9(2), 151. https://doi.org/10.3390/educsci9020151
This study investigated the psychometric properties of the Chinese version of the STEM Career Interest Survey (STEM-CCIS) with data from 590 high-school students in Taiwan. Measurement models based on Social-Cognitive Career Theory (SCCT) and STEM discipline-specific dimensions (Science, Technology, Engineering, Mathematics) were examined using confirmatory factor analyses. Findings from confirmatory factor analyses indicated that STEM-CCIS possesses adequate reliability and factorial validity, replicating the sound psychometric properties of the original English version of the STEM-CIS. Implications for the use of the STEM-CCIS are discussed.
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